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[PR #1161] [MERGED] integration: langchain-timbr provider documentation #1347

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opened 2026-02-17 17:22:12 -05:00 by yindo · 0 comments
yindo commented 2026-02-17 17:22:12 -05:00
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/1161
Author: @wpbarco
Created: 10/28/2025
Status: ✅ Merged
Merged: 11/30/2025
Merged by: @mdrxy

Base: main ← Head: main

📝 Commits (10+)

  • acbcb27 Add langchain-timbr provider documentation
  • e5a0318 Merge branch 'main' into main
  • 099d184 Merge branch 'langchain-ai:main' into main
  • 9819f10 Merge branch 'main' into main
  • 4e52d37 Merge branch 'main' into main
  • b4d7352 Update src/oss/python/integrations/providers/timbr.mdx
  • 36ac70c Update src/oss/python/integrations/graphs/timbr.mdx
  • 3598b9b Update src/oss/python/integrations/providers/timbr.mdx
  • 8e368cd Merge branch 'main' into main
  • 1c2234a Merge branch 'main' into main

📊 Changes

3 files changed (+255 additions, -0 deletions)

View changed files

➕ src/oss/python/integrations/graphs/timbr.mdx (+213 -0)
📝 src/oss/python/integrations/providers/all_providers.mdx (+8 -0)
➕ src/oss/python/integrations/providers/timbr.mdx (+34 -0)

📄 Description

Overview

This PR adds Timbr as a new integration provider to the LangChain documentation. Timbr is a semantic SQL knowledge graph platform that enables natural language to SQL query generation using ontology-driven semantic layers.

The documentation covers:

  • Timbr provider overview page with installation instructions
  • Integration guide showing usage of Timbr's chains and agents
  • Complete setup and configuration examples
  • Environment-based configuration support
  • Multiple usage patterns: pre-built agent, individual chains, and manual connector

Type of change

Type: Add new integration documentation

Related issues/PRs

Checklist

  • I have read the contributing guidelines
  • I have tested my changes locally using make lint_md
  • All code examples follow LangChain documentation standards
  • I have used root relative paths for internal links
  • I have updated navigation in src/docs.json if needed (not applicable - added sections to existing pages)
  • I have gotten approval from the relevant reviewers
  • (Internal team members only / optional) I have created a preview deployment using the Create Preview Branch workflow

Additional notes

Changes made:

  1. src/oss/python/integrations/providers/timbr.mdx (new file):

    • Provider overview describing Timbr's semantic SQL capabilities
    • Installation instructions with optional LLM provider selection
    • Import examples for main chains and agent
    • Cross-reference to detailed usage guide

  2. src/oss/python/integrations/graphs/timbr.mdx (new file):

    • Comprehensive integration guide with setup instructions

    • Environment-based configuration documentation

    • Examples for main tools:

      • ExecuteTimbrQueryChain for query execution

      • GenerateAnswerChain for response generation

      • TimbrLlmConnector for manual integration

    • LLM configuration examples using both standard LangChain models and Timbr's LlmWrapper

    • Links to additional resources (PyPI, GitHub, official docs)

  3. src\oss\python\integrations\providers\all_providers.mdx (updated):

    • Added Timbr card in alphabetical order

      • Description: "Semantic layer for data integration and querying"

      • Link to Timbr provider page

Key features documented:

  • Semantic SQL generation: Natural language to SQL using ontology-driven semantic layers
  • Environment configuration: Optional environment variables for simplified setup
  • Multiple LLM support: Compatible with OpenAI, Anthropic, Google, Azure, Snowflake, Databricks, and Vertex AI
  • Flexible usage patterns: Pre-built agent, individual chains, or manual connector
  • Usage metadata: Token counting and tracking for LLM interactions

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/docs/pull/1161 **Author:** [@wpbarco](https://github.com/wpbarco) **Created:** 10/28/2025 **Status:** ✅ Merged **Merged:** 11/30/2025 **Merged by:** [@mdrxy](https://github.com/mdrxy) **Base:** `main` ← **Head:** `main` --- ### 📝 Commits (10+) - [`acbcb27`](https://github.com/langchain-ai/docs/commit/acbcb2730ddf64f485d4b75d02043d560bcbe2ed) Add langchain-timbr provider documentation - [`e5a0318`](https://github.com/langchain-ai/docs/commit/e5a03184f125936738727cb363f4e6e3ba04b19e) Merge branch 'main' into main - [`099d184`](https://github.com/langchain-ai/docs/commit/099d184fe4b861cbbd1a16a3f65db98787afb307) Merge branch 'langchain-ai:main' into main - [`9819f10`](https://github.com/langchain-ai/docs/commit/9819f107597a529efcc55cc85b501954820f6eb9) Merge branch 'main' into main - [`4e52d37`](https://github.com/langchain-ai/docs/commit/4e52d37b1e18769f348aae6455c6b9573603fc1b) Merge branch 'main' into main - [`b4d7352`](https://github.com/langchain-ai/docs/commit/b4d735222be82ffb3ee74dfe7d5cf223361afad1) Update src/oss/python/integrations/providers/timbr.mdx - [`36ac70c`](https://github.com/langchain-ai/docs/commit/36ac70cb58f56bb147a03e441ac738dc4cbb9f5e) Update src/oss/python/integrations/graphs/timbr.mdx - [`3598b9b`](https://github.com/langchain-ai/docs/commit/3598b9b9e6c9ecad96738213056fd787912a1457) Update src/oss/python/integrations/providers/timbr.mdx - [`8e368cd`](https://github.com/langchain-ai/docs/commit/8e368cd51c308a25194238c7f68c4e6d6a1752ea) Merge branch 'main' into main - [`1c2234a`](https://github.com/langchain-ai/docs/commit/1c2234acefd9b4b28afff13307ffb2b3f2c82e1d) Merge branch 'main' into main ### 📊 Changes **3 files changed** (+255 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `src/oss/python/integrations/graphs/timbr.mdx` (+213 -0) 📝 `src/oss/python/integrations/providers/all_providers.mdx` (+8 -0) ➕ `src/oss/python/integrations/providers/timbr.mdx` (+34 -0) </details> ### 📄 Description ## Overview This PR adds Timbr as a new integration provider to the LangChain documentation. Timbr is a semantic SQL knowledge graph platform that enables natural language to SQL query generation using ontology-driven semantic layers. The documentation covers: * Timbr provider overview page with installation instructions * Integration guide showing usage of Timbr's chains and agents * Complete setup and configuration examples * Environment-based configuration support * Multiple usage patterns: pre-built agent, individual chains, and manual connector ## Type of change **Type:** Add new integration documentation ## Related issues/PRs * Related integration files in langchain-timbr package * [Timbr documentation](https://docs.timbr.ai/doc/docs/integration/langchain-sdk/) ## Checklist - [X] I have read the contributing guidelines - [X] I have tested my changes locally using make lint_md - [X] All code examples follow LangChain documentation standards - [X] I have used root relative paths for internal links - [ ] I have updated navigation in `src/docs.json` if needed (not applicable - added sections to existing pages) - [ ] I have gotten approval from the relevant reviewers - [ ] (Internal team members only / optional) I have created a preview deployment using the [Create Preview Branch workflow](https://github.com/langchain-ai/docs/actions/workflows/create-preview-branch.yml) ## Additional notes **Changes made:** 1. `src/oss/python/integrations/providers/timbr.mdx` (new file): * Provider overview describing Timbr's semantic SQL capabilities * Installation instructions with optional LLM provider selection * Import examples for main chains and agent * Cross-reference to detailed usage guide 2. `src/oss/python/integrations/graphs/timbr.mdx` (new file): * Comprehensive integration guide with setup instructions * Environment-based configuration documentation * Examples for main tools: * ExecuteTimbrQueryChain for query execution * GenerateAnswerChain for response generation * TimbrLlmConnector for manual integration * LLM configuration examples using both standard LangChain models and Timbr's LlmWrapper * Links to additional resources (PyPI, GitHub, official docs) 3. `src\oss\python\integrations\providers\all_providers.mdx` (updated): * Added Timbr card in alphabetical order * Description: "Semantic layer for data integration and querying" * Link to Timbr provider page ## Key features documented: * **Semantic SQL generation:** Natural language to SQL using ontology-driven semantic layers * **Environment configuration:** Optional environment variables for simplified setup * **Multiple LLM support:** Compatible with OpenAI, Anthropic, Google, Azure, Snowflake, Databricks, and Vertex AI * **Flexible usage patterns:** Pre-built agent, individual chains, or manual connector * **Usage metadata:** Token counting and tracking for LLM interactions --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-02-17 17:22:12 -05:00
yindo closed this issue 2026-02-17 17:22:12 -05:00
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Reference: langchain-ai/docs#1347
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